Data mining tour start

Our data acquisition today's scale is unprecedented in human history, daily life has become increasingly dependent on these we collected
the information. We want the computer to be able to translate the page into other languages, forecasting weather, we recommend favorite books, our diagnostic health
health problems. Similar demand will continue to grow, we will need more applications and greater accuracy. Data mining techniques can be
used to train the computer to make decisions based on available data. Today, data mining technology has become a high-tech systems support many
of the backbone.
Python rapidly growing popularity is not accidental. Its high flexibility; many modules, can perform many tasks; than any other
programming language, Python code is usually more concise, more readable. Python in the field of data mining has become a study by the
atmosphere of a large active community Fellow, composed of practitioners and novices.
This chapter describes how to use Python for data mining, mainly involves the following topics.
 Data Mining Introduction and application scenarios
 build Python data mining environment
 affinity analysis Example: on the recommendation of merchandise buying habits
 example (classic) Classification: speculation based on measurements of plant species